MB Senior Software Engineer, Bonterra

• This role is ideal for someone who thrives in a collaborative environment and is passionate about driving the success of engineering initiatives while mentoring and guiding others
• 5+ years of full stack Software Development experience, including design patterns and data structures
• Proficiency with key application technologies: Django, Python, Postgres databases, and AWS ECS. Expertise with AWS cloud infrastructure and deployment models, including automation, orchestration, and scale
• Excellent cross-functional communication skills, with the ability to work closely with data science teams, product managers, and other engineering teams
• Strong experience with Agile methodologies, including sprint planning, stand-ups, and retrospectives
• Strong problem-solving skills with a focus on delivering solutions to complex technical challenges in AI and software engineering
• Proficient at using AI tools and prompt engineering methods to solve software engineering problems
• Experience incorporating AI technologies, such as LLMs, into existing software products
• Experience mentoring junior engineers and driving a collaborative, team-first culture
• Fine attention to detail and encouraging approach in communicating concerns and suggestions in Code Reviews

Desirable

• As a senior software engineer, you will work closely with cross-functional teams to ensure the technical health and quality of our product. You will use AI tools, services, and methodologies to drive innovation and enhance the software development lifecycle and build new features in the product
• Own the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards
• Contribute and support successful sprint planning, execution, and retrospectives for features. Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos
• Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities
• Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery
• Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science
• Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies
• Mentor and guide team members, fostering a culture of continuous learning
• Contribute high-quality code to the product, including optimizing algorithms, maintaining high availability and uptime, and implementing AI-driven features
• Regularly evaluate and refine engineering processes, with a particular focus on improving workflows for development, AI technologies, testing, and deployment
• Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines
• Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust